The use of the EVOLVE testbed will allow to optimize agri production yield using numerical models and massive historic data, improving productivity by allowing easy deployment, and use of the testbed by domain experts in agri analytics.
A main challenge in agricultural production today is to automatically identify a crop in a region from satellite images and then to predict crop growth for accurate in-season forecast of the total agricultural production in one region, e.g. Europe or the corn belt.
Agricultural production forecast poses significant challenges for data processing.